Essays about: "naturligt"
Showing result 16 - 20 of 656 essays containing the word naturligt.
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16. Status Mapping of tank to grave management of Low-GWP refrigerants.
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Refrigeration plays a vital role today in various residential, commercial, and industrial processes, requiring refrigerants to facilitate the cooling or heating processes. Over time, refrigerants have undergone significant changes to meet technological, social, environmental, and economic needs. READ MORE
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17. Possibilities of Reducing Internal Scrap Rates and Increase Scrap Recyclability of Dilute Copper Alloys from Vertical Upwards Continuous Cast (VUCC) Process
University essay from Lunds universitet/Centrum för analys och syntesAbstract : Copper and copper alloys are important material systems for the electrification of society. The high workability of the materials makes them appropriate in numerous different applications which require highly conductive properties. READ MORE
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18. Language Models as Evaluators : A Novel Framework for Automatic Evaluation of News Article Summaries
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The advancements in abstractive summarization using Large Language Models (LLMs) have brought with it new challenges in evaluating the quality and faithfulness of generated summaries. This thesis explores a human-like automated method for evaluating news article summaries. READ MORE
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19. Ovary spheroid formation and quality assessment using two different protocols
University essay from KTH/ProteinvetenskapAbstract : Redan innan födseln fastställs kvinnors fertilitet, som karakteriseras av ett begränsat antal äggblåsor, så kallade folliklar. Beståndet av folliklar minskar naturligt med åldern, samtidigt som kvinnors fertilitet beror på deras steroid- och äggproduktion. READ MORE
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20. Self-learning for 3D segmentation of medical images from single and few-slice annotation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Training deep-learning networks to segment a particular region of interest (ROI) in 3D medical acquisitions (also called volumes) usually requires annotating a lot of data upstream because of the predominant fully supervised nature of the existing stateof-the-art models. To alleviate this annotation burden for medical experts and the associated cost, leveraging self-learning models, whose strength lies in their ability to be trained with unlabeled data, is a natural and straightforward approach. READ MORE